Update README.md

README.md

@@ -120,10 +120,10 @@ The model was trained with a batch size of 16 and a learning rate of 5e-5 for 5
 This model was finetuned maximizing F1 score.
 
 ## Evaluation results
-We evaluated the *roberta-base-bne-capitel-ner** on the CAPITEL-NERC test set against standard multilingual and monolingual baselines:
+We evaluated the **roberta-base-bne-capitel-ner** on the CAPITEL-NERC test set against standard multilingual and monolingual baselines:
 
 
-| Model        | XNLI (Accuracy) | 
+| Model        | CAPITEL-NERC (F1) | 
 | ------------|:----|
 | roberta-large-bne-capitel-ner | **90.51** |
 | roberta-base-bne-capitel-ner | 89.60|